is the seventh member of the family of coronaviruses that infect humans (1) and induces coronavirus disease 2019 (COVID-19). Human coronaviruses have neuroinvasive capacities and may be neurovirulent by two main mechanisms (2-4): viral replication into glial or neuronal cells of the brain or autoimmune reaction with a misdirected host immune response (5). Thus, a few cases of acute encephalitislike syndromes with human coronaviruses were reported in the past 2 decades (5-8). In regard to COVID-19, current data on central nervous system involvement are uncommon but growing (9-17), demonstrating the high frequency of neurologic symptoms. However, the delineation of a large cohort of confirmed brain MRI parenchymal signal abnormalities (excluding ischemic infarcts) related to COVID-19 has never been performed, and the underlying pathophysiologic mechanisms remain unknown. The purpose of the current study was to describe the neuroimaging findings (excluding ischemic infarcts) in patients with severe COVID-19 and report the clinicobiologic profile of these patients. Materials and Methods This retrospective observational national multicenter study was initiated by the French Society of Neuroradiology in collaboration with neurologists, intensivists, and infectious disease specialists and brought together 16 hospitals. The study was approved by the ethical committee of Strasbourg University Hospital (CE-2020-37) and was in accordance with the 1964 Helsinki Declaration and its later amendments. Because of the emergency in the context of the COVID-19 pandemic responsible for

ObjectiveTo describe neuroimaging findings and to report the epidemiological and clinical characteristics of COVID-19 patients with neurological manifestations.MethodsIn this retrospective multicenter study (10 Hospitals), we included 64 confirmed COVID-19 patients with neurologic manifestations who underwent a brain MRI.ResultsThe cohort included 43 men (67%), 21 women (33%), and the median age was 66 years (range: 20-92). 36 (56%) brain MRIs were considered abnormal, possibly related to SARS-CoV-2. Ischemic strokes (27%), leptomeningeal enhancement (17%), and encephalitis (13%) were the most frequent neuroimaging findings. Confusion (53%) was the most common neurological manifestation, following by impaired consciousness (39%), presence of clinical signs of corticospinal tract involvement (31%), agitation (31%), and headache (16%). The profile of patients experiencing ischemic stroke was different from the other patients with abnormal brain imaging since the former had less frequently acute respiratory distress syndrome (p=0·006) and more frequently corticospinal tract signs (p=0·02). Patients with encephalitis were younger (p=0·007), whereas agitation was more frequent for patients with leptomeningeal enhancement (p=0·009).ConclusionsCOVID-19 patients may develop a wide range of neurological symptoms, which can be associated with severe and fatal complications, such as ischemic stroke or encephalitis. Concerning the meningoencephalitis involvement, even if a direct effect of the virus cannot be excluded, the pathophysiology rather seems to involve an immune and/or inflammatory process given the presence of signs of inflammation in both cerebrospinal fluid and neuroimaging but the lack of virus in cerebrospinal fluid.

No abstract

No abstract

Synthetic fluid-attenuated inversion recovery (FLAIR) generated with deep learning is asaccurate as a real FLAIR sequence for the identification of early stroke.

No abstract

BACKGROUND: Remote diffusion-weighted imaging lesions (RDWILs) in the context of spontaneous intracerebral hemorrhage (ICH) are associated with an increased risk of recurrent stroke, worse functional outcome, and death. To update current knowledge on RDWILs, we conducted a systematic review and meta-analysis of the prevalence, associated factors and presumed causes of RDWILs. METHODS: We searched Pubmed, Embase, and Cochrane up to June 2022 for studies reporting RDWILs in adults with symptomatic ICH of no-identified-cause, assessed by magnetic resonance imaging, and analyzed associations between baseline variables and RDWILs in random-effects meta-analyses. RESULTS: Eighteen observational studies (7 prospective), reporting 5211 patients were included, of whom 1386 had ≥1 RDWIL (pooled prevalence: 23.5% [19.0–28.6]). RDWIL presence was associated with neuroimaging features of microangiopathy, atrial fibrillation (odds ratio, 3.67 [1.80–7.49]), clinical severity (mean difference in National Institutes of Health Stroke Scale score, 1.58 points [0.50–2.66]), elevated blood pressure (mean difference, 14.02 mmHg [9.44–18.60]), ICH volume (mean difference, 2.78 mL [0.97–4.60]), and subarachnoid (odds ratio, 1.80 [1.00–3.24]) or intraventricular (odds ratio, 1.53 [1.28–1.83]) hemorrhage. RDWIL presence was associated with poor 3-month functional outcome (odds ratio, 1.95 [1.48–2.57]). CONCLUSIONS: RDWILs are detected in approximately 1-in-4 patients with acute ICH. Our results suggest that most RDWILs result from disruption of cerebral small vessel disease by ICH-related precipitating factors such as elevated intracranial pressure and cerebral autoregulation impairment. Their presence is associated with worse initial presentation and outcome. However, given the mostly cross-sectional designs and heterogeneity in study quality, further studies are needed to investigate whether specific ICH treatment strategies may reduce the incidence of RDWILs and in turn improve outcome and reduce stroke recurrence.

No abstract